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    Sensitivity of Subsurface Ocean Temperature Variability to Specification of Surface Observations in the Context of ENSO

    Source: Monthly Weather Review:;2017:;volume( 145 ):;issue: 004::page 1437
    Author:
    Kumar, Arun
    ,
    Wen, Caihong
    ,
    Xue, Yan
    ,
    Wang, Hui
    DOI: 10.1175/MWR-D-16-0432.1
    Publisher: American Meteorological Society
    Abstract: o estimate the state of the ocean in the context of monitoring and prediction, ocean analysis products combine observed information from various sources that include both in situ ocean measurements and estimates of atmospheric forcings derived either from numerical models or from objective analysis methods. In the context of El Niño?Southern Oscillation (ENSO) variability in the equatorial tropical Pacific, this study discusses two questions: 1) the role of surface forcings in resolving the observed variability of subsurface ocean temperatures, and 2) which component of surface forcings plays a more important role.The analysis approach is based on ocean model simulations where specification of surface forcings is controlled and the resulting ocean state is either compared among various simulations or is compared with an independent ocean analysis (where information from in situ ocean temperature measurements is included). The results highlight the importance of the contribution of observed sea surface temperature (via its influence on surface winds due to coupled air?sea interactions) and the observed surface wind forcing in determining the evolution of subsurface ocean temperatures. Implications for assessing the feasibility of extending ocean analysis and forecasts back in time when in situ observations were limited are also discussed.
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      Sensitivity of Subsurface Ocean Temperature Variability to Specification of Surface Observations in the Context of ENSO

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4231130
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    • Monthly Weather Review

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    contributor authorKumar, Arun
    contributor authorWen, Caihong
    contributor authorXue, Yan
    contributor authorWang, Hui
    date accessioned2017-06-09T17:34:42Z
    date available2017-06-09T17:34:42Z
    date copyright2017/04/01
    date issued2017
    identifier issn0027-0644
    identifier otherams-87459.pdf
    identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231130
    description abstracto estimate the state of the ocean in the context of monitoring and prediction, ocean analysis products combine observed information from various sources that include both in situ ocean measurements and estimates of atmospheric forcings derived either from numerical models or from objective analysis methods. In the context of El Niño?Southern Oscillation (ENSO) variability in the equatorial tropical Pacific, this study discusses two questions: 1) the role of surface forcings in resolving the observed variability of subsurface ocean temperatures, and 2) which component of surface forcings plays a more important role.The analysis approach is based on ocean model simulations where specification of surface forcings is controlled and the resulting ocean state is either compared among various simulations or is compared with an independent ocean analysis (where information from in situ ocean temperature measurements is included). The results highlight the importance of the contribution of observed sea surface temperature (via its influence on surface winds due to coupled air?sea interactions) and the observed surface wind forcing in determining the evolution of subsurface ocean temperatures. Implications for assessing the feasibility of extending ocean analysis and forecasts back in time when in situ observations were limited are also discussed.
    publisherAmerican Meteorological Society
    titleSensitivity of Subsurface Ocean Temperature Variability to Specification of Surface Observations in the Context of ENSO
    typeJournal Paper
    journal volume145
    journal issue4
    journal titleMonthly Weather Review
    identifier doi10.1175/MWR-D-16-0432.1
    journal fristpage1437
    journal lastpage1446
    treeMonthly Weather Review:;2017:;volume( 145 ):;issue: 004
    contenttypeFulltext
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